Mem0, Open Source Giving Memory to AI Agents [2026]

by

Mem0: 3 Key Aspects of the AI Agent Memory Layer

  • GitHub Stars: 46,900+
  • Languages: Python, TypeScript
  • License: Apache-2.0

Open Source Solution to LLM’s Memory Problem

Mem0 is a memory layer that gives AI agents persistent memory. LLMs forget context after a conversation ends. Mem0 solves this problem.[GitHub]

The key is a hybrid architecture combining vector DB, key-value DB, and graph DB. It retrieves only the most useful context based on relevance and recency.[Mem0 Docs]

What Can You Do?

  • User Memory: Preferences are maintained across all conversations.
  • Session Memory: Tracks context within a single conversation.
  • Agent Memory: Stores information specific to each AI agent instance.
  • Multi-Platform SDK: Supports both Python and Node.js.

Quick Start

# Python Installation
pip install mem0ai

# Node.js Installation
npm install mem0ai

Performance and Investment Status

Announced a 26% improvement in accuracy, 91% improvement in response speed, and 90% reduction in token usage compared to OpenAI Memory in the LOCOMO benchmark.[Mem0 Official]

Raised $24 million in Series A in October 2025. A Y Combinator S24 graduate.[TechCrunch]

Where is it good to use?

A typical example is a customer support chatbot remembering previous inquiry history. It integrates with over 20 frameworks, including LangChain and CrewAI. It has also been selected as the official memory provider for the AWS Agent SDK.

Things to Watch Out For

  • Uses OpenAI gpt-4.1-nano as the default LLM. It can be replaced, but requires configuration.
  • You need to manage the DB infrastructure yourself when self-hosting.
  • Since it’s at the v1.0.0 stage, there’s a possibility of API changes.

Frequently Asked Questions (FAQ)

Q: Is Mem0 free?

A: The open-source version is free under Apache-2.0. Managed cloud starts with a free plan at app.mem0.ai. Paid plans vary in price depending on API call volume.

Q: How do I add Mem0 to LangChain?

A: Official integration is supported. After installing the mem0ai package, create a Memory object and save the conversation with the add method. LangGraph integration is also supported.

Q: What is the difference between Mem0 and RAG?

A: RAG is external document retrieval. Mem0 is a memory management system that automatically extracts and stores facts and preferences from interactions, and updates old information.

If this post was helpful, please subscribe to AI Digester.

References

Leave a Comment